digital image correlation

A PhD studentship is available at the University of Southampton as part of a collaboration with MatchID NV. It consists at exploring new heterogeneous test configurations for composites and elastomers, based on Digital Image Correlation (DIC) and the Virtual Fields Method (VFM). The overarching goal is to propose new standard tests relying on heterogeneous states of strain and stress for cheaper and more robust material testing.

A permanent position at MatchID - Metrology beyond colors- is open with a focus on digital image correlation, material identification and model validation.

 As a business development engineer you

Job description: We are seeking innovative and highly motivated PhD candidates to join the FROG lab in the mechanical engineering department at the University of Ottawa.

As part of my EPSRC Fellowship programme, I am now recruiting the second post-doctoral fellow associated with the project. I am looking for a talented young researcher with skills in experimental mechanics, particularly in the field of high rate testing of materials and high speed imaging for full-field deformation measurements. Informal enquiries can be made directly to me at f.pierron@soton.ac.uk, attaching a CV.

Following a late cancellation, we have one vacancy left for our one-week intensive course on Digital Image Correlation to be held in Ghent, Belgium, 12-16 January 2015. All details can be found on the course website.

We report a novel optical microscope for full-field, noncontact measurements of three-dimensional (3D) surface deformation and topography at the microscale. The microscope system is based on a seamless integration of the diffraction-assisted image correlation (DAIC) method with fluorescent microscopy. We experimentally demonstrate the microscope’s capability for 3D measurements with submicrometer spatial resolution and subpixel measurement accuracy.

Openings at various levels are immediately available in Max-Planck Institute for Iron Research, for projects on experimental micro-mechanics and/or alloy design. The positions are in the group of Cem Tasan (Adaptive Structural Materials), in the Microstructure Physics and Alloy Design department of prof. Dierk Raabe.

For more details on the openings and the group, please visit http://asm.mpie.de.

For more information regarding the institute, please visit http://www.mpie.de 

Fully funded PhD studentship at The Open Univeristy campus, Milton Keynes, UK. The aim of this project is to optimise experimental techniques such as digital image correlation (DIC) and focused ion beam (FIB) hole drilling to investigate the micro scale stresses and strains occurring during martensitic transformations. The techniques will be applied to a range of materials from simple steels to complex shape memory alloys. There will also be scope within the project to study martensitic alloys using central facilities such as the ILL, ESRF and Diamond light source.

Hi,

I just posted a Matlab-GUI easy-to-use DIC and DVC simulator tool on our website (franck.engin.brown.edu) for download for anyone that works with DIC or DVC. The purpose of these simulators is to simulate deformation fields based on a user provided image (2D) or volume (3D), and evaluate the correlation results with the analytical solutions to provide quantitative feedback on the "goodness" of the provided images for DIC or DVC purposes.

Feel free to use them for research, teaching, etc. We welcome any suggestions for improvements, etc.

Following our recent article on this new method, we are making our Matlab routines available. The package contains standard DIC, SSDIC, plus a few extras. More info here

“Subset Splitting Digital Image Correlation” (SSDIC) is based on DIC, but in addition SSDIC can capture displacement discontinuities near shear bands or cracks, where standard DIC fails.

C. Eberl, D. S. Gianola, R. J. Thompson (in alphabetic order)

With this contribution we would like to point to a free MATLAB tool which uses digital image correlation and tracking techniques to measure strain from a series of digital images. The code can be found on the ‘MATLAB central file exchange’ as well as the documentation, example images and some slides. We use the code on a daily basis for micro- and nanoscale measurements and present it here to be used and further developed by the community. Since it was posted at the end of september the code is now ranked place one or two in google and has been downloaded about 1000 times.